top of page

Journal Publications

Automatic recognition of white blood cell images with memory efficient superpixel metric GNN: SMGNN in Mathematical Biosciences and Engineering, accepted

A DISTANCE FUNCTION BASED CASCADED NEURAL NETWORK FOR ACCURATE POLYPS SEGMENTATION AND CLASSIFICATION in Inverse Problem and Imaging, published

Automatic recognition of white blood cell images with memory efficient superpixel metric GNN: SMGNN in Mathematical Biosciences and Engineering, accepted

Deep Scattering Message Passing in JMLR, Submitted

Conference Paper

Multi-level Protein Representation Learning for Blind Mutational Effect Prediction

Robust Graph Representation Learning for Local Corruption Recovery in WWW2023, Austin, U.S.

VGU-Net: Geometric Learning Enhanced Encoder for medical image segmentation and restoration.

Robust Graph Representation Learning for Local Corruption Recovery.

A Distance Function Based Cascaded Neural Network for improving Polyp Segmentation and Classification.


 

© 2035 by Andi Banks. Powered and secured by Wix

bottom of page